diff --git a/__init__.py b/__init__.py
index 1eb7668..ce6349f 100644
--- a/__init__.py
+++ b/__init__.py
@@ -87,7 +87,7 @@ NODE_CONFIG = {
     "CustomSigmas": {"class": CustomSigmas, "name": "Custom Sigmas"},
     #utility
     "WidgetToString": {"class": WidgetToString, "name": "Widget To String"},
-    "DummyLatentOut": {"class": DummyLatentOut, "name": "Dummy Latent Out"},
+    "DummyOut": {"class": DummyOut, "name": "Dummy Out"},
     "GetLatentsFromBatchIndexed": {"class": GetLatentsFromBatchIndexed, "name": "Get Latents From Batch Indexed"},
     "ScaleBatchPromptSchedule": {"class": ScaleBatchPromptSchedule, "name": "Scale Batch Prompt Schedule"},
     "CameraPoseVisualizer": {"class": CameraPoseVisualizer, "name": "Camera Pose Visualizer"},
diff --git a/nodes/image_nodes.py b/nodes/image_nodes.py
index 1e2294b..d4de5cc 100644
--- a/nodes/image_nodes.py
+++ b/nodes/image_nodes.py
@@ -472,7 +472,7 @@ class WebcamCaptureCV2:
     FUNCTION = "capture"
     CATEGORY = "KJNodes/experimental"
     DESCRIPTION = """
-Captures an area specified by screen coordinates.  
+Captures a frame from a webcam using CV2.  
 Can be used for realtime diffusion with autoqueue.
 """
 
@@ -482,41 +482,33 @@ Can be used for realtime diffusion with autoqueue.
             "required": {
                  "x": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
                  "y": ("INT", {"default": 0,"min": 0, "max": 4096, "step": 1}),
-                 "cam_index": ("INT", {"default": 0,"min": 0, "max": 255, "step": 1}),
                  "width": ("INT", {"default": 512,"min": 0, "max": 4096, "step": 1}),
                  "height": ("INT", {"default": 512,"min": 0, "max": 4096, "step": 1}),
-                 "num_frames": ("INT", {"default": 1,"min": 1, "max": 255, "step": 1}),
-                 "delay": ("FLOAT", {"default": 0.1,"min": 0.0, "max": 10.0, "step": 0.01}),
+                 "cam_index": ("INT", {"default": 0,"min": 0, "max": 255, "step": 1}),
                  "release": ("BOOLEAN", {"default": False}),
             },
         } 
 
-    def capture(self, x, y, cam_index, width, height, num_frames, delay, release):
+    def capture(self, x, y, cam_index, width, height, release):
         
-        captures = []
-
         if not hasattr(self, "cap") or self.cap is None:
-            self.cap = cv2.VideoCapture(cam_index)  # Open the first webcam (0)
+            self.cap = cv2.VideoCapture(cam_index)
         if not self.cap.isOpened():
             raise Exception("Could not open webcam")
 
-        for _ in range(num_frames):
-            ret, frame = self.cap.read()
-            if not ret:
-                raise Exception("Failed to capture image from webcam")
+        ret, frame = self.cap.read()
+        if not ret:
+            raise Exception("Failed to capture image from webcam")
 
-            # Crop the frame to the specified bbox
-            frame = frame[y:y+height, x:x+width]
-            img_torch = torch.from_numpy(frame[..., [2, 1, 0]]).float() / 255.0
-            captures.append(img_torch)
+        # Crop the frame to the specified bbox
+        frame = frame[y:y+height, x:x+width]
+        img_torch = torch.from_numpy(frame[..., [2, 1, 0]]).float() / 255.0
 
-            if num_frames > 1:
-                time.sleep(delay)
         if release:
             self.cap.release()
             self.cap = None
 
-        return (torch.stack(captures, 0),)
+        return (img_torch.unsqueeze(0),)
     
 class AddLabel:
     @classmethod
diff --git a/nodes/nodes.py b/nodes/nodes.py
index 1482558..718547a 100644
--- a/nodes/nodes.py
+++ b/nodes/nodes.py
@@ -750,17 +750,17 @@ To see node id's, enable node id display from Manager badge menu.
             raise NameError(f"Node not found: {id}")
         return (', '.join(results).strip(', '), )
 
-class DummyLatentOut:
+class DummyOut:
 
     @classmethod
     def INPUT_TYPES(cls):
         return {
             "required": {
-            "latent": ("LATENT",),
+            "any_input": (any, {}),
             }
         }
 
-    RETURN_TYPES = ("LATENT",)
+    RETURN_TYPES = (any,)
     FUNCTION = "dummy"
     CATEGORY = "KJNodes/misc"
     OUTPUT_NODE = True
@@ -769,8 +769,8 @@ Does nothing, used to trigger generic workflow output.
 A way to get previews in the UI without saving anything to disk.
 """
 
-    def dummy(self, latent):
-        return (latent,)
+    def dummy(self, any_input):
+        return (any_input,)
     
 class FlipSigmasAdjusted:
     @classmethod